-
collaborators across institutions to enable integration of scattering-derived insights into physics-informed AI models. Document research results, contribute to publications in peer-reviewed journals, and present
-
insights and develop reduced order models (ROMs) for boundary layer flows and turbulent combustion. Integrate ROMs with CFD solvers and demonstrate predictive accuracy compared to traditional modeling
-
Integrate models across platforms and workflows; manage inputs/outputs and ensure reproducibility Analyze simulation and experimental datasets; extract insights and quantify sensitivities and uncertainties
-
pipelines and visualization dashboards to communicate results effectively. Familiarity with geospatial data analysis and methods for extracting insights from unstructured data. Job Family Postdoctoral Job
-
of reaction mechanisms in molten salts and apply insights to process development and scale up. Project activities will include the design and development of advanced sensors and flow systems for molten salts